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get_mass_marketing_stats

Retrieve mass marketing campaign stats including performance, failure breakdown, hourly send distribution, list quality, and credit balance. Query by date range.

Instructions

Estadisticas de Marketing Masivo — Estadisticas de campanas masivas: rendimiento por campana, desglose de fallos, distribucion horaria de envios, calidad de listas y balance de creditos disponibles [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_fromNoFecha inicio (YYYY-MM-DD). Default: hace 30 dias
date_toNoFecha fin (YYYY-MM-DD). Default: hoy
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavior. It lists output categories but omits critical details: read-only nature, rate limits, permission requirements, pagination, or query parameter usage. The '[query]' tag is unexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single line but effectively uses a dash-separated list. However, the '[query]' suffix is ambiguous and adds confusion. Could be restructured for clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple schema (2 optional params, no output schema), the description covers the main statistics categories. However, it lacks behavioral context and does not address return format or potential limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with good descriptions for both parameters. The description adds no further meaning beyond the schema, so baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly lists the types of statistics provided (campaign performance, failure breakdown, hourly distribution, list quality, credit balance), making the tool's purpose specific. However, it lacks a explicit verb like 'Retrieve' and does not contrast with siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like get_campaign_logs or get_marketing_sessions. The description does not mention prerequisites or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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